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GPT-4.1 Mini vs Llama 4 Scout

GPT-4.1 Mini leads Llama 4 Scout on the Artificial Analysis Intelligence Index, 10.2 to 6.5, and Llama 4 Scout costs 3.2x less per output token ($0.50 vs $1.60 per million). Updated October 22, 2026; 77 benchmarks have a result for both.

GPT-4.1 MiniOpenAI
Coding
No data
Overall
31.9
Output $/M
$1.60
74
Llama 4 ScoutMeta Llama
Coding
No data
Overall
24.9
Output $/M
$0.50
2
vs boards won of 77 shared, 1 tied

GPT-4.1 Mini or Llama 4 Scout: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick GPT-4.1 Mini for work measured by MGSM (Vals AI) or IFBench, where it leads.

Shared results
77
GPT-4.1 Mini only
9
Llama 4 Scout only
5
Like-for-like categories
8 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
GPT-4.1 Mini not benchmarked, Llama 4 Scout not benchmarked.
Widest category
Agentic work, 29.9 points apart on average over 2 shared benchmarks.
Widest single gap
τ²-Bench Telecom: GPT-4.1 Mini 52.9% against Llama 4 Scout 15.5%, 37.4 points apart on a 0 to 100 scale.
Output price
GPT-4.1 Mini $1.60 against Llama 4 Scout $0.50 per million output tokens, 3.2x apart.
Context window
GPT-4.1 Mini takes 1.05M tokens, Llama 4 Scout 1.31M.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryGPT-4.1 MiniBarsLlama 4 ScoutTies
Coding70
Intelligence20
Agentic work20
Reasoning1201 tie
Math81
Knowledge110
Web design50
General271
All shared boards7421 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index70
Coding benchmarks for GPT-4.1 Mini and Llama 4 Scout
BenchmarkGPT-4.1 MiniLlama 4 ScoutLeader
Aider polyglot32.4%Not measuredOnly GPT-4.1 Mini measured
SWE-bench Verified23.9%9.1%GPT-4.1 Mini
AA Coding Index20.28.2GPT-4.1 Mini
LiveCodeBench (Vals AI)58.2%38.5%GPT-4.1 Mini
LiveCodeBench (Artificial Analysis run)48.3%29.9%GPT-4.1 Mini
SciCodeNot measured21.3%Only Llama 4 Scout measured
Terminal-Bench Hard (Artificial Analysis run)7.6%1.5%GPT-4.1 Mini
WeirdML37.6%Not measuredOnly GPT-4.1 Mini measured
LMArena Text: coding13671286GPT-4.1 Mini
LMArena Text: software and IT13601286GPT-4.1 Mini
Neither model has a result on the other 29 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for GPT-4.1 Mini and Llama 4 Scout
BenchmarkGPT-4.1 MiniLlama 4 ScoutLeader
AA Intelligence Index10.26.5GPT-4.1 Mini
Epoch Capabilities Index134.9129.6GPT-4.1 Mini
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
Agentic work benchmarks for GPT-4.1 Mini and Llama 4 Scout
BenchmarkGPT-4.1 MiniLlama 4 ScoutLeader
AA Agentic IndexNot measured0.5Only Llama 4 Scout measured
τ²-Bench Telecom52.9%15.5%GPT-4.1 Mini
Berkeley Function Calling Leaderboard (BFCL)50.4%28.1%GPT-4.1 Mini
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index120
Reasoning benchmarks for GPT-4.1 Mini and Llama 4 Scout
BenchmarkGPT-4.1 MiniLlama 4 ScoutLeader
GPQA Diamond67.9%47.0%GPT-4.1 Mini
MMMU Pro (Vals AI)70.5%58.8%GPT-4.1 Mini
GPQA Diamond (Artificial Analysis run)66.4%58.7%GPT-4.1 Mini
Humanity's Last Exam (Artificial Analysis run)5.0%3.8%GPT-4.1 Mini
GPQA Diamond (Epoch AI run)65.8%51.8%GPT-4.1 Mini
ARC-AGI3.5%0.5%GPT-4.1 Mini
ARC-AGI-20.0%0.0%Tie
Chess puzzles1.0%Not measuredOnly GPT-4.1 Mini measured
Mystery game puzzles7.0%Not measuredOnly GPT-4.1 Mini measured
LMArena Text: hard prompts13491266GPT-4.1 Mini
LMArena Text: expert13381235GPT-4.1 Mini
LMArena Text: hard prompts in English13621293GPT-4.1 Mini
LMArena Vision: diagrams11821125GPT-4.1 Mini
LMArena Vision: homework12141148GPT-4.1 Mini
Kagi LLM Benchmark48.6%36.9%GPT-4.1 Mini
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index81
Math benchmarks for GPT-4.1 Mini and Llama 4 Scout
BenchmarkGPT-4.1 MiniLlama 4 ScoutLeader
AIME49.4%19.0%GPT-4.1 Mini
MATH 500 (Vals AI)88.0%79.2%GPT-4.1 Mini
MGSM (Vals AI)87.8%88.0%Llama 4 Scout
AA Math Index46.314.0GPT-4.1 Mini
AIME 2025 (Artificial Analysis run)46.3%14.0%GPT-4.1 Mini
OTIS Mock AIME44.7%7.8%GPT-4.1 Mini
FrontierMath, tiers 1 to 36.7%Not measuredOnly GPT-4.1 Mini measured
MATH level 587.3%62.3%GPT-4.1 Mini
LMArena Text: math13431287GPT-4.1 Mini
LMArena Text: mathematical work13471286GPT-4.1 Mini
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index110
Knowledge benchmarks for GPT-4.1 Mini and Llama 4 Scout
BenchmarkGPT-4.1 MiniLlama 4 ScoutLeader
MMLU Pro77.2%69.6%GPT-4.1 Mini
LegalBench (Vals AI)78.0%72.0%GPT-4.1 Mini
CorpFin (Vals AI)57.9%46.8%GPT-4.1 Mini
TaxEval (Vals AI)71.9%55.2%GPT-4.1 Mini
MortgageTax (Vals AI)65.5%57.8%GPT-4.1 Mini
MedQA (Vals AI)84.6%50.9%GPT-4.1 Mini
MedCode (Vals AI)Not measured23.3%Only Llama 4 Scout measured
MMLU Pro (Artificial Analysis run)78.1%75.2%GPT-4.1 Mini
SimpleQA Verified12.7%Not measuredOnly GPT-4.1 Mini measured
LMArena Text: science13281278GPT-4.1 Mini
LMArena Text: medicine and healthcare13241275GPT-4.1 Mini
LMArena Text: legal and government13431285GPT-4.1 Mini
LMArena Text: business and finance13221257GPT-4.1 Mini
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index50
Web design benchmarks for GPT-4.1 Mini and Llama 4 Scout
BenchmarkGPT-4.1 MiniLlama 4 ScoutLeader
Design Arena: websites997750GPT-4.1 Mini
Design Arena: UI components958765GPT-4.1 Mini
Design Arena: game dev1070772GPT-4.1 Mini
Design Arena: data viz1034896GPT-4.1 Mini
Design Arena: 3D836Not measuredOnly GPT-4.1 Mini measured
Design Arena: all code categories993789GPT-4.1 Mini
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index271
General benchmarks for GPT-4.1 Mini and Llama 4 Scout
BenchmarkGPT-4.1 MiniLlama 4 ScoutLeader
SAGE (Vals AI)Not measured34.8%Only Llama 4 Scout measured
MedScribe (Vals AI)Not measured50.6%Only Llama 4 Scout measured
IFBench38.3%39.5%Llama 4 Scout
Long context reasoning (AA-LCR)44.0%27.7%GPT-4.1 Mini
DTBench68.8%57.9%GPT-4.1 Mini
LMCA21.1%12.0%GPT-4.1 Mini
Fiction.LiveBench44.4%36.0%GPT-4.1 Mini
LMArena Text13411279GPT-4.1 Mini
LMArena Text: instruction following13331248GPT-4.1 Mini
LMArena Text: creative writing12991249GPT-4.1 Mini
LMArena Vision11811118GPT-4.1 Mini
LMArena Text: English13561304GPT-4.1 Mini
LMArena Text: non-English13181252GPT-4.1 Mini
LMArena Text: Chinese13291255GPT-4.1 Mini
LMArena Text: German13501273GPT-4.1 Mini
LMArena Text: Japanese12901206GPT-4.1 Mini
LMArena Text: Korean12981207GPT-4.1 Mini
LMArena Text: French13581283GPT-4.1 Mini
LMArena Text: Spanish13191278GPT-4.1 Mini
LMArena Text: Russian13241263GPT-4.1 Mini
LMArena Text: Polish13261265GPT-4.1 Mini
LMArena Text: multi-turn13541280GPT-4.1 Mini
LMArena Text: longer queries13441265GPT-4.1 Mini
LMArena Text: writing and language13191269GPT-4.1 Mini
LMArena Text: entertainment and media13001242GPT-4.1 Mini
LMArena Vision: English11911143GPT-4.1 Mini
LMArena Vision: Chinese11861106GPT-4.1 Mini
LMArena Vision: reading text11881117GPT-4.1 Mini
LMArena Vision: humor11821102GPT-4.1 Mini
LMArena Vision: captioning1174Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: recognizing things1187Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: creative writing11821126GPT-4.1 Mini
Neither model has a result on the other 14 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4.1 Mini and Llama 4 Scout
BenchmarkGPT-4.1 MiniLlama 4 ScoutLeader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

GPT-4.1 Mini$0.0012Fits in one request
Llama 4 Scout$0.0004Fits in one request

Llama 4 Scout costs less

Repository review

50K input + 3K output tokens

GPT-4.1 Mini$0.025Fits in one request
Llama 4 Scout$0.010Fits in one request

Llama 4 Scout costs less

Agent loop

200K input + 10K output tokens

GPT-4.1 Mini$0.096Fits in one request
Llama 4 Scout$0.040Fits in one request

Llama 4 Scout costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of GPT-4.1 Mini and Llama 4 Scout
SpecificationOpenAI GPT-4.1 MiniMeta Llama 4 Scout
MakerOpenAIMeta Llama
WeightsNo public weights listedOpen weights
ReleasedApril 14, 2025April 5, 2025
Context window1.05M1.31M
Input $/Mtok$0.40$0.175
Output $/Mtok$1.60$0.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved task$1.818$1.276
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4.1 Mini better than Llama 4 Scout for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-4.1 Mini for work measured by MGSM (Vals AI) or IFBench, where it leads.

Which is cheaper, GPT-4.1 Mini or Llama 4 Scout?

GPT-4.1 Mini costs $0.40 per million input tokens and $1.60 per million output tokens; Llama 4 Scout costs $0.175 and $0.50. Per solved SWE-bench Verified task, GPT-4.1 Mini costs $1.818 and Llama 4 Scout $1.276.

Which has the bigger context window, GPT-4.1 Mini or Llama 4 Scout?

Llama 4 Scout, with 1.31M tokens against 1.05M.

How many benchmarks is the GPT-4.1 Mini vs Llama 4 Scout comparison based on?

77 benchmarks have a result for both models as of October 22, 2026. GPT-4.1 Mini's coding index rests on 0 independent benchmarks and Llama 4 Scout's on 0. Where only one model has a result, the page says so instead of naming a winner.

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